TY - GEN
T1 - Criteria Identification for Supplier Performance Assessment in a Food Industry to Support Improvement Strategy Prioritization
AU - Anggraini, Tannia
AU - Hidayatno, Akhmad
AU - Setiawan, Andri D.
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/5/25
Y1 - 2021/5/25
N2 - In Indonesia, the demand for the sauce for food complement is higher than the supply ability availability. With the expected population growth, this gap creates a challenge and opportunity for the food industry. The main obstacle lies in supplier fulfillment. Therefore, the assessment of supplier performance is one solution to fulfill market demand and increase the sales and service level. In this study, the assessment for a supplier performance is determined using five attributes in the SCOR model: reliability, agility, responsiveness, cost, and asset. This study aims to define and select the criteria of assessing supplier performance using early stages in Multi-Criteria Decision-Making methodology to measure supplier performance. The study will start by systemically understanding the problem using actor analysis and a system diagram to illustrate the systemic properties of the problem. Actor analysis is essential due to the nature of the issues with multi-actor conditions. The result is shown as a model conceptual diagram with the relevant actors and the factors that influence the system, especially in the food industry.
AB - In Indonesia, the demand for the sauce for food complement is higher than the supply ability availability. With the expected population growth, this gap creates a challenge and opportunity for the food industry. The main obstacle lies in supplier fulfillment. Therefore, the assessment of supplier performance is one solution to fulfill market demand and increase the sales and service level. In this study, the assessment for a supplier performance is determined using five attributes in the SCOR model: reliability, agility, responsiveness, cost, and asset. This study aims to define and select the criteria of assessing supplier performance using early stages in Multi-Criteria Decision-Making methodology to measure supplier performance. The study will start by systemically understanding the problem using actor analysis and a system diagram to illustrate the systemic properties of the problem. Actor analysis is essential due to the nature of the issues with multi-actor conditions. The result is shown as a model conceptual diagram with the relevant actors and the factors that influence the system, especially in the food industry.
KW - Decision Modeling
KW - MCDM
KW - Model Conceptualization
KW - Service Level
KW - Supplier Performance
KW - Supply Chain SCOR
UR - http://www.scopus.com/inward/record.url?scp=85143901408&partnerID=8YFLogxK
U2 - 10.1145/3468013.3468629
DO - 10.1145/3468013.3468629
M3 - Conference contribution
AN - SCOPUS:85143901408
T3 - ACM International Conference Proceeding Series
SP - 385
EP - 391
BT - Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering
PB - Association for Computing Machinery
T2 - 4th Asia Pacific Conference on Research in Industrial and Systems Engineering: Building Business Resilience to Face the Challenge in Pandemic Era, APCORISE 2021
Y2 - 25 May 2021
ER -